North America Data Center Accelerator Market By Type (HPC Data Center and Cloud Data Center), By Processor Type (CPU, FPGA, GPU and ASIC), By Application (Deep Learning Training, Public Cloud Interface and Enterprise Interface), By Country, Growth Potenti

North America Data Center Accelerator Market By Type (HPC Data Center and Cloud Data Center), By Processor Type (CPU, FPGA, GPU and ASIC), By Application (Deep Learning Training, Public Cloud Interface and Enterprise Interface), By Country, Growth Potential, COVID-19 Impact Analysis Report and Forecast, 2021 - 2027

The North America Data Center Accelerator Market would witness market growth of 31.9% CAGR during the forecast period (2021-2027).

Data center accelerators help users to fulfil their demands as these accelerators are developed to resolve customer problems, provide high performance and hardware-based acceleration with exceptional cost and power efficiency.

Deep learning services available on the cloud are decreasing the initial costs related to executing business operations and restricting server maintenance tasks. Several big tech giants and startups are aiming to provide machine learning as a cloud service owing to the expanding demand for AI-based computation. Several enterprises and startups do not make their own dedicated hardware or software to implement deep learning to their specific business requirements. Cloud-based solutions are perfect for small & mid-sized companies, which find on-premises solutions expensive. Therefore, the growing adoption of cloud-based technology is making it more important to implement deep learning.

Several companies are deploying machine learning applications like CPUs, GPUs, and image & voice recognition because of the high adoption of AI technologies to segregate and modernize their processes and offerings. Companies are increasingly depending on these systems for quicker training real-time inference. It is due to the fact that advanced and improved processors can work for the higher network bandwidths developed by the AI and ML workloads.

Moreover, companies are increasingly investing in the adoption of numerous technologies like AI and ML, which is anticipated to open new growth avenues for the data center accelerator in this region. The ample budget of enterprises operating in this region is supporting the regional growth of the market. All these aspects would collaboratively support the data center accelerator market in this region over the forecast period.

The US market dominated the North America Data Center Accelerator HPC Data Center Market by Country 2020, thereby, achieving a market value of $10,040.2 million by 2027. The Canada market is experiencing a CAGR of 33.6% during (2021 - 2027). Additionally, The Mexico market would witness a CAGR of 32.4% during (2021 - 2027).

Based on Type, the market is segmented into HPC Data Center and Cloud Data Center. Based on Processor Type, the market is segmented into CPU, FPGA, GPU and ASIC. Based on Application, the market is segmented into Deep Learning Training, Public Cloud Interface and Enterprise Interface. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Intel Corporation, NEC Corporation, Google, Inc., IBM Corporation, Micron Technology, Inc., Advanced Micro Devices, Inc., Marvell Technology Group Ltd., NVIDIA Corporation, Xilinx, Inc. and Qualcomm, Inc.

Scope of the Study

Market Segments covered in the Report:

By Type

• HPC Data Center
• Cloud Data Center

• CPU
• FPGA
• GPU
• ASIC

• Deep Learning Training
• Public Cloud Interface
• Enterprise Interface

• US
• Canada
• Mexico
• Rest of North America

• Intel Corporation
• NEC Corporation
• Google, Inc.
• IBM Corporation
• Micron Technology, Inc.
• Advanced Micro Devices, Inc.
• Marvell Technology Group Ltd.
• NVIDIA Corporation
• Xilinx, Inc.
• Qualcomm, Inc.

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